Sökning: "Stereo Setup"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden Stereo Setup.
1. ROS-based implementation of a model car with a LiDAR and camera setup
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. LÄS MER
2. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER
3. Monocular Depth Estimation Using Deep Convolutional Neural Networks
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : For a long time stereo-cameras have been deployed in visual Simultaneous Localization And Mapping (SLAM) systems to gain 3D information. Even though stereo-cameras show good performance, the main disadvantage is the complex and expensive hardware setup it requires, which limits the use of the system. LÄS MER
4. Simplifying stereo camera calibration using M-arrays
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Digitization of objects in three dimensions, also known as 3D scanning, is becoming increasingly prevalent in all types of fields. Ranging from manufacturing, medicine, and even cultural heritage preservation. LÄS MER
5. Correspondence-based pairwise depth estimation with parallel acceleration
Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologiSammanfattning : This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. LÄS MER